Vegetation type is an important predictor of the arctic summer land surface energy budget
Jacqueline Oehri, Gabriela Schaepman‐Strub, Jin‐Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua Dean, Alcide di Sarra, R. J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, Julia Boike, Nathaniel B. Miller, Jason Beringer, Efrén López‐Blanco, Paul C. Stoy, Ryan C. Sullivan, Marek Kejna, Frans‐Jan W. Parmentier, John A. Gamon, Mikhail Mastepanov, Christian Wille, Marcin Jackowicz-Korczyński, Dirk Nikolaus Karger, William L. Quinton, Jaakko Putkonen, Dirk van As, Torben R. Christensen, Maria Z. Hakuba, Robert S. Stone, Stefan Metzger, Baptiste Vandecrux, G. V. Frost, Martin Wild, Birger Ulf Hansen, Daniela Meloni, Florent Dominé, Mariska te Beest, Torsten Sachs, Aram Kalhori, A. V. Rocha, Scott Williamson, S. Crepinsek, A. L. Atchley, Richard Essery, Benjamin R. K. Runkle, David Holl, Laura D. Riihimaki, Hiroyasu Iwata, Edward A. G. Schuur, Christopher Cox, A. A. Grachev, J. P. McFadden, Robert S. Fausto, Mathias Goeckede, Masahito Ueyama, Norbert Pirk, Gijs de Boer, M. Syndonia Bret‐Harte, Matti Leppäranta, Konrad Steffen, Thomas Friborg, Atsumu Ohmura, C. Edgar, Johan Olofsson, Scott D. Chambers
Abstract
Abstract Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm −2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.- Cite:
- Jacqueline Oehri, Gabriela Schaepman‐Strub, Jin‐Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua Dean, Alcide di Sarra, R. J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, et al.. 2022. Vegetation type is an important predictor of the arctic summer land surface energy budget. Nature Communications, Volume 13, Issue 1, 13(1).
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@article{Oehri-2022-Vegetation,
title = "Vegetation type is an important predictor of the arctic summer land surface energy budget",
author = {Oehri, Jacqueline and
Schaepman‐Strub, Gabriela and
Kim, Jin‐Soo and
Grysko, Raleigh and
Kropp, Heather and
Gr{\"u}nberg, Inge and
Zemlianskii, Vitalii and
Sonnentag, Oliver and
Euskirchen, Eug{\'e}nie and
Chacko, Merin Reji and
Muscari, Giovanni and
Blanken, Peter D. and
Dean, Joshua and
Sarra, Alcide di and
Harding, R. J. and
Sobota, Ireneusz and
Kutzbach, Lars and
Plekhanova, Elena and
Riihel{\"a}, Aku and
Boike, Julia and
Miller, Nathaniel B. and
Beringer, Jason and
L{\'o}pez‐Blanco, Efr{\'e}n and
Stoy, Paul C. and
Sullivan, Ryan C. and
Kejna, Marek and
Parmentier, Frans‐Jan W. and
Gamon, John A. and
Mastepanov, Mikhail and
Wille, Christian and
Jackowicz-Korczy{\'n}ski, Marcin and
Karger, Dirk Nikolaus and
Quinton, William L. and
Putkonen, Jaakko and
As, Dirk van and
Christensen, Torben R. and
Hakuba, Maria Z. and
Stone, Robert S. and
Metzger, Stefan and
Vandecrux, Baptiste and
Frost, G. V. and
Wild, Martin and
Hansen, Birger Ulf and
Meloni, Daniela and
Domin{\'e}, Florent and
Beest, Mariska te and
Sachs, Torsten and
Kalhori, Aram and
Rocha, A. V. and
Williamson, Scott and
Crepinsek, S. and
Atchley, A. L. and
Essery, Richard and
Runkle, Benjamin R. K. and
Holl, David and
Riihimaki, Laura D. and
Iwata, Hiroyasu and
Schuur, Edward A. G. and
Cox, Christopher and
Grachev, A. A. and
McFadden, J. P. and
Fausto, Robert S. and
Goeckede, Mathias and
Ueyama, Masahito and
Pirk, Norbert and
Boer, Gijs de and
Bret‐Harte, M. Syndonia and
Lepp{\"a}ranta, Matti and
Steffen, Konrad and
Friborg, Thomas and
Ohmura, Atsumu and
Edgar, C. and
Olofsson, Johan and
Chambers, Scott D.},
journal = "Nature Communications, Volume 13, Issue 1",
volume = "13",
number = "1",
year = "2022",
publisher = "Springer Science and Business Media LLC",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G22-67001",
doi = "10.1038/s41467-022-34049-3",
abstract = "Abstract Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994{--}2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm −2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.",
}
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<title>Nature Communications, Volume 13, Issue 1</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Springer Science and Business Media LLC</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>Abstract Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm −2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.</abstract>
<identifier type="citekey">Oehri-2022-Vegetation</identifier>
<identifier type="doi">10.1038/s41467-022-34049-3</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G22-67001</url>
</location>
<part>
<date>2022</date>
<detail type="volume"><number>13</number></detail>
<detail type="issue"><number>1</number></detail>
</part>
</mods>
</modsCollection>
%0 Journal Article %T Vegetation type is an important predictor of the arctic summer land surface energy budget %A Oehri, Jacqueline %A Schaepman‐Strub, Gabriela %A Kim, Jin‐Soo %A Grysko, Raleigh %A Kropp, Heather %A Grünberg, Inge %A Zemlianskii, Vitalii %A Sonnentag, Oliver %A Euskirchen, Eugénie %A Chacko, Merin Reji %A Muscari, Giovanni %A Blanken, Peter D. %A Dean, Joshua %A Sarra, Alcide di %A Harding, R. J. %A Sobota, Ireneusz %A Kutzbach, Lars %A Plekhanova, Elena %A Riihelä, Aku %A Boike, Julia %A Miller, Nathaniel B. %A Beringer, Jason %A López‐Blanco, Efrén %A Stoy, Paul C. %A Sullivan, Ryan C. %A Kejna, Marek %A Parmentier, Frans‐Jan W. %A Gamon, John A. %A Mastepanov, Mikhail %A Wille, Christian %A Jackowicz-Korczyński, Marcin %A Karger, Dirk Nikolaus %A Quinton, William L. %A Putkonen, Jaakko %A As, Dirk van %A Christensen, Torben R. %A Hakuba, Maria Z. %A Stone, Robert S. %A Metzger, Stefan %A Vandecrux, Baptiste %A Frost, G. V. %A Wild, Martin %A Hansen, Birger Ulf %A Meloni, Daniela %A Dominé, Florent %A Beest, Mariska te %A Sachs, Torsten %A Kalhori, Aram %A Rocha, A. V. %A Williamson, Scott %A Crepinsek, S. %A Atchley, A. L. %A Essery, Richard %A Runkle, Benjamin R. K. %A Holl, David %A Riihimaki, Laura D. %A Iwata, Hiroyasu %A Schuur, Edward A. G. %A Cox, Christopher %A Grachev, A. A. %A McFadden, J. P. %A Fausto, Robert S. %A Goeckede, Mathias %A Ueyama, Masahito %A Pirk, Norbert %A Boer, Gijs de %A Bret‐Harte, M. Syndonia %A Leppäranta, Matti %A Steffen, Konrad %A Friborg, Thomas %A Ohmura, Atsumu %A Edgar, C. %A Olofsson, Johan %A Chambers, Scott D. %J Nature Communications, Volume 13, Issue 1 %D 2022 %V 13 %N 1 %I Springer Science and Business Media LLC %F Oehri-2022-Vegetation %X Abstract Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm −2 ) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types. %R 10.1038/s41467-022-34049-3 %U https://gwf-uwaterloo.github.io/gwf-publications/G22-67001 %U https://doi.org/10.1038/s41467-022-34049-3
Markdown (Informal)
[Vegetation type is an important predictor of the arctic summer land surface energy budget](https://gwf-uwaterloo.github.io/gwf-publications/G22-67001) (Oehri et al., GWF 2022)
- Vegetation type is an important predictor of the arctic summer land surface energy budget (Oehri et al., GWF 2022)
ACL
- Jacqueline Oehri, Gabriela Schaepman‐Strub, Jin‐Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D. Blanken, Joshua Dean, Alcide di Sarra, R. J. Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, et al.. 2022. Vegetation type is an important predictor of the arctic summer land surface energy budget. Nature Communications, Volume 13, Issue 1, 13(1).